title: Avoiding the pitfalls of single particle cryo-electron microscopy: Einstein from noise.
abstract: Single particle cryo-electron microscopy is currently poised to produce high-resolution structures of many biological assemblies, but several pitfalls can trap the unwary. This critique highlights one problem that is particularly relevant when smaller structures are being studied. It is known as "Einstein from noise," in which the experimenter honestly believes they have recorded images of their particles, whereas in reality, most if not all of their data consist of pure noise. Selection of particles using cross-correlation methods can then lead to 3D maps that resemble the model used in the initial selection and provide the illusion of progress. Suggestions are given about how to circumvent the problem.
authors.affiliation: Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom.
authors.forename: Richard
authors.initials: R
authors.lastname: Henderson
mesh_terms: D001704:Biopolymers / Q000378:metabolism*; D015699:HIV Envelope Protein gp120 / Q000378:metabolism*; D015700:HIV Envelope Protein gp41 / Q000378:metabolism*; D015497:HIV-1 / Q000378:metabolism*
chemical_list: D001704:Biopolymers; D015699:HIV Envelope Protein gp120; D015700:HIV Envelope Protein gp41
keywords: 3DEM; EMDB; SPEM; cryo-EM; validation